A comprehensive examination of high-dimensional analysis of multivariate methods and their real-world applications
Multivariate Statistics: High-Dimensional and Large-Sample Approximations is the first book of its kind to explore how classical …
…Statistical Inference for Models with Multivariate t-Distributed Errors:Includes a wide array of applications for the analysis of multivariate observationsEmphasizes…
Praise for the Second Edition
"This book is a systematic, well-written, well-organized text on multivariate analysis packed with intuition and insight . . . There is much practical wisdom in this book that is hard to find elsewhere."
An applied treatment of the key methods and state-of-the-art tools for visualizing and understanding statistical data
Smoothing of Multivariate Data provides an illustrative and hands-on approach to the multivariate aspects of density estimation,…
Table of contents
2. Structural Models For Counted Data
3. Maximum Likelihood Estimates For Complete Tables
4. Formal Goodness Of Fit: Summary Statistics And Model Selection
5. Maximum Likelihood Estimation For Incomplete Tables
6. Estimating The Size Of A Closed Population
7. Models For…
… The statistical computing and graphics software environment R, pre-computed Bayesian networks using Hugin Researcher and a new package, calcuLatoR, for the computation of likelihood ratios are all explored.
Statistical Analysis in Forensic Science will provide…
…Classical and modern statistical methods applicable to biological, social, communication networks, or microarrays are presented together with the theoretical background and proofs.
This book is suitable for a one-semester course for graduate students in data mining,…
Clarifies modern data analysis through nonparametric density estimation for a complete working knowledge of the theory and methods
Featuring a thoroughly revised presentation, Multivariate Density Estimation: Theory, Practice, and Visualization,…
…the wealth of material on statistics concerning the multivariate normal distribution is quite exceptional. As such it is a very useful source of information for the general statistician and a must for anyone wanting to penetrate deeper into the multivariate field."